Software Engineer II
Pubblicato il 24-08-2026 - Vontier in Firenze
Location: Florence (Italy) / Hybrid (3 days per week)
Scopra esattamente quali competenze, esperienze e qualifiche sono necessarie per avere successo in questo ruolo prima di candidarsi.
INTRODUCTION And WHAT YOU WILL DO
Are you eager to work on an innovative team at the forefront of AI-powered engineering? Are you looking for a stimulating career where you can leverage cutting‑edge tools — including AI — to create, enhance, and maintain key product lines in the fuel management industry? If so, we have a great opportunity for you!
What You Will Do
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- The software engineer will be responsible for developing full‑stack applications on a leading embedded platform in the fuel management industry, leveraging AI tools to accelerate delivery and quality.
- Design, develop and test embedded software and UX, using GitHub Copilot for AI‑assisted code generation and review
- Build and integrate AI agents into engineering workflows using commercial and proprietary tools
- Contribute to software architecture and apply AI‑assisted design patterns in collaboration with the architecture team
- Participate in an Agile/Scrum team and provide analysis and perform code reviews
- Drive process improvement by embedding AI capabilities into CI/CD pipelines to deliver world‑class software on time
Who You Are
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- Bachelor's in Computer Science, Software Engineering, Computer Engineering, or equivalent experience
- 3–5 years of experience in object‑oriented languages (C++, Java, C, Python or similar); familiarity with Node.js is a plus
- Hands‑on experience or strong curiosity with AI development tools such as GitHub Copilot, LLM APIs, xysqume or agent frameworks (e.g., LangChain)
- Experience with CI/CD pipelines and automated testing; exposure to AI‑assisted testing tools is a plus
- Knowledge of payment devices and/or systems is a plus
- Collaborative team player, able to contribute to demos and communicate technical concepts clearly, eager to work in an international environment
- Growth mindset: eager to learn, experiment with new AI capabilities, and apply them pragmatically in daily engineering work
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